• Journal of Fashion Business
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• v.27 no.2
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• pp.140-152
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• 2023

In this study, in-depth interviews with Hanbok experts on the development direction of the Hanbok culture industry were performed to listen to professional and future-oriented opinions for the development of Hanbok culture and the Hanbok industry. Interviews were conducted with 12 experts to identify the perception of the Hanbok culture industry and to confirm the possibility of sustainable development of Hanbok as a global culture. First, the results of this study should be preceded by the establishment of concepts such as traditional Hanbok, daily Hanbok, fusion Hanbok, and new Hanbok, and design, education, and government support suitable for each field are required. Second, the responsible craftsmanship of the Hanbok industry, the development of Hanbok design with the aesthetics and convenience of Hanbok designers, multi-dimensional research with high academic use, and systematic support for various Hanbok-related programs and events by the government are needed. Third, the government should promote and actively wear Hanbok through various media to revitalize the Hanbok culture, such as establishing a Hanbok wearing day, reviving etiquette education in school, and providing local-based Hanbok wearing experience education. Fourth, in order to cultivate professional manpower, detailed Hanbok education by field is necessary, and specialized education tools, such as distribution, VMD, and stylist are proposed.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.399-409
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• 2022

The purpose of this study is to examine the role of virtual community participation and engagement in the brand decision by building community and brand trust. In this study, two theories (Social Capital Theory and Theory of Collective Action) were tested. Both theories were linked based on existing literature, and empirical evidence was obtained through testing hypotheses. Students from five prestigious Pakistani business schools provided a total of 849 replies. The measurement model and structural model were both analyzed using the partial least square (PLS) method. The findings show that virtual community engagement and participation have a positive and significant impact on virtual community trust. Although virtual community engagement has a positive effect on brand trust, we found no evidence of a link between virtual community participation and brand trust. Later, these trusts positively influence brand choice. This study has several managerial implications. The suggested model of this study helps managers to get customers' insight, choose the right target market, and set integrated marketing communication strategies besides social media marketing strategies. The study represents a new perspective of consumer behavior that helps to understand how a customer behaves in virtual communities to trust and take the final decision to purchase.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.387-397
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• 2022

The purpose of this study is to examine the effects of emotional arousals of guilt versus shame on health message compliance. The study also investigates the moderation impact of two individual factors that have not been studied much in health communications, including regulatory focus and self-construal. This study employs a 2 (guilt versus shame appeals/arousals) between-subjects experiment and a survey to test the conceptual model. The context of the study is binge drinking, and the survey respondents (n = 330) are male university students in Ho Chi Minh City, Vietnam. The results confirm the positive effects of guilt and shame arousals on health message compliance. In addition, the results show moderating effects of the two individual characteristics of regulatory focus and self-construal on the relationships between guilt/shame arousals and health message compliance. The findings of this study have not only theoretical implications but also practical implications in the field of health communications. The insights could help health marketers, policymakers, and health promotion agencies to effectively develop health communications campaigns with more appealing message content (guilt versus shame) and relevant media selection (regulatory focus and self-construal).

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.199-201
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• 2023

국내·외 소셜미디어 사용자가 증가하면서 마약 유통, 불법 촬영물 유포 등과 같은 사이버 범죄가 소셜미디어를 통하여 발생하고 있다. 사이버 범죄 수사를 위해 소셜미디어 크롤링 연구가 진행되고 있지만, 주로 'N번방' 등 불법 촬영물 및 성 착취물 유포와 같은 성범죄 수사를 대상으로 한다. 그러나 최근에는 성범죄뿐 아니라, 소셜미디어를 통한 마약 유통이 급격히 증가하고 있으므로 소셜미디어 크롤링을 통한 마약 수사 기술 개발이 필요하다. 본 논문에서는 소셜미디어 중, 인스타그램의 마약 유통을 추적하기 위해 실제 사용되는 마약 은어를 정의하고, 정의된 은어를 검색 키워드로 입력하여 사용자 계정을 수집하였다. 또한, 수집된 사용자 계정의 프로필 사진을 추출하고 유사도 분석을 수행하여 동일 마약 유통자 식별에 프로필 사진이 효과적임을 검증하였다.

• Journal of information and communication convergence engineering
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• v.21 no.4
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• pp.300-305
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• 2023

Audience reactions in response to remote virtual performances must be compressed before being transmitted to the server. The server, which aggregates these data for group insights, requires a distribution code for the transfer. Recently, distributed learning algorithms such as federated learning have gained attention as alternatives that satisfy both the information security and efficiency requirements. In distributed learning, no individual user has access to complete information, and the objective is to achieve a learning effect similar to that achieved with the entire information. It is therefore important to distribute interdependent information among users and subsequently aggregate this information following training. In this paper, we present a new extension technique for minimal code that allows a new minimal code with a different length and Hamming weight to be generated through the product of any vector and a given minimal code. Thus, the proposed technique can generate minimal codes with previously unknown parameters. We also present a scenario wherein these combined methods can be applied.

• ETRI Journal
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• v.46 no.2
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• pp.165-174
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• 2024

We propose a method to suppress the speckle noise and blur effects of the light field extracted from a hologram using a deep-learning technique. The light field can be extracted by bandpass filtering in the hologram's frequency domain. The extracted light field has reduced spatial resolution owing to the limited passband size of the bandpass filter and the blurring that occurs when the object is far from the hologram plane and also contains speckle noise caused by the random phase distribution of the three-dimensional object surface. These limitations degrade the reconstruction quality of the hologram resynthesized using the extracted light field. In the proposed method, a deep-learning model based on a generative adversarial network is designed to suppress speckle noise and blurring, resulting in improved quality of the light field extracted from the hologram. The model is trained using pairs of original two-dimensional images and their corresponding light-field data extracted from the complex field generated by the images. Validation of the proposed method is performed using light-field data extracted from holograms of objects with single and multiple depths and mesh-based computer-generated holograms.

• Nuclear Engineering and Technology
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• v.56 no.3
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• pp.959-965
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• 2024

The High Temperature Test Unit (HTTU) was an experimental set-up to conduct separate and integral effects tests of the Pebble Bed Modular Reactor (PBMR) core. The annular core consisted of a randomly packed bed of uniform spheres. Natural convection tests using both nitrogen and helium, and forced convection tests using nitrogen, were conducted. The maximum material temperature achieved during forced convection testing was 1200 ℃. This paper presents the numerical analysis of the flow and temperature distribution for a forced convection test using 3D CFD as well as a 1D systems-CFD computer code. Several modelling approaches are possible, ranging from a fully explicit to a semi-implicit method that relies on correlations of their associated phenomena. For the comparison between codes, the analysis was performed using a porous media approach, where the conduction and radiative heat transfer were lumped together as an effective thermal conductivity and the convective heat transfer was correlated between the solid and gas phases. The results from both codes were validated against the experimental measurements. Favourable results were obtained, in particular by the systems-CFD code with minimal computational and time requirements.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.254-261
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• 2024

Among eco-friendly energy, solar energy is one of the renewable energy sources that is developing in the spotlight in many countries. In line with this, the Korean government and local governments are carrying out projects to provide subsidies for the distribution of household solar power, raising the spread of household solar power and awareness. However, due to the lack of research on consumer perception of household solar power, this study investigated the perception of household solar power from 2015 to 2022 by setting the central word as solar power. As a result, 2016 had the highest number of collections, and when the top 50 words for each year were analyzed, it was confirmed that words related to the installation and maintenance of household solar power dominated. And through CONCOR analysis, a total of four were derived: solar energy recognition, renewable and eco-friendly energy recognition, solar government policies, solar companies, and perceptions of households. Through emotional analysis, it was confirmed that 2021 had the most positive data. As a result, consumer perception of household solar power is positive based on what was mentioned above, but research on how to use negative opinions on waste control and installation and maintenance should be conducted.

• International Journal of Computer Science & Network Security
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• v.24 no.9
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• pp.150-156
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• 2024

With the advent of personalized search engines, a myriad of approaches came into practice. With social media emergence the personalization was extended to different level. The main reason for this preference of personalized engine over traditional search was need of accurate and precise results. Due to paucity of time and patience users didn't want to surf several pages to find the result that suits them most. Personalized search engines could solve this problem effectively by understanding user through profiles and histories and thus diminishing uncertainty and ambiguity. But since several layers of personalization were added to basic search, the response time and resource requirement (for profile storage) increased manifold. So it's time to focus on optimizing the layered architectures of personalization. The paper presents a layout of the multi agent based personalized search engine that works on histories and profiles. Further to store the huge amount of data, distributed database is used at its core, so high availability, scaling, and geographic distribution are built in and easy to use. Initially results are retrieved using traditional search engine, after applying layer of personalization the results are provided to user. MongoDB is used to store profiles in flexible form thus improving the performance of the engine. Further Weighted Sum model is used to rank the pages in personalization layer.

• Asian Journal of Business Environment
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• v.14 no.4
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• pp.1-11
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• 2024

Purpose: This study evaluates the challenges faced by foreign legacy automakers' joint ventures (FLAJVs) in China's new energy vehicle (NEV) market segment within the context of liability of foreignness (LOF). Research design, data and methodology: The research draws on various secondary sources, including reports from the China Association of Automobile Manufacturers, industry reports, external media sources, and the annual reports of VW Group (2019-2023), BYD, and Nio (2018-2023). Results: The remarkable speed of China's ascent to market leadership in the NEV segment is attributable to a dual-faceted NEV policy. This policy includes government grants and subsidies designed to bolster the technological capacity of domestic automakers and incentives to encourage consumers to purchase domestic NEVs. These measures have effectively shifted both supply and demand from internal combustion engine (ICE) vehicles to NEVs. Consequently, the market positioning of FLAJVs has weakened due to intense competition from established domestic automakers and new entrants. Conclusion: This study demonstrates that FLAJVs are increasingly experiencing the effects of the liability of foreignness, leading to higher costs associated with purchasing regulatory credits and the implementation of costly strategic initiatives to comply with the Dual-Credit Policy (DCP).